MEASURING NOISE CORRELATION FOR IMPROVED VIDEO DENOISING

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Abstract

The vast majority of previous work in noise reduction for visual media has assumed
uncorrelated, white, noise sources. In practice this is almost always violated by
real media. Film grain noise is never white, and this paper highlights that the
same applies to almost all consumer video content. We therefore present an
algorithm for measuring the spatial and temporal spectral density of noise in
archived video content, be it consumer digital camera or film orginated. As an
example of how this information can be used for video denoising, the spectral
density is then used for spatio-temporal noise reduction in the Fourier frequency
domain. Results show improved performance for noise reduction in an easily
pipelined system.